Interface for a universal search

ABSTRACT

A search engine may perform a search for a user search query over a number of possible search categories. For example, the search query may be performed for general web documents, images, and news documents. The search engine ranks categories based on the search query and/or the documents returned for each category and presents the search results to the user by category. Higher ranking categories may be presented more prominently than lower ranking categories.

BACKGROUND OF THE INVENTION

1. Field of the Invention

The present invention relates generally to database search engines, andmore particularly, to user interfaces that are used to present theresults of a search.

2. Description of the Related Art

The World Wide Web (“web”) contains a vast amount of information. Searchengines assist users in locating desired portions of this information bycataloging web documents. Typically, in response to a user's request,the search engine returns references to documents relevant to therequest.

Search engines may base their determination of the user's interest onsearch terms (called a search query) entered by the user. The goal ofthe search engine is to identify links to high quality relevant resultsbased on the search query. Typically, the search engine accomplishesthis by matching the terms in the search query to a corpus of pre-storedweb documents. Web documents that contain the user's search terms areconsidered “hits” and are returned to the user.

The corpus of pre-stored web documents may be stored by the searchengine as an index of terms found in the web pages. Documents in theindex may be categorized into one or more categories. Examples of suchcategories include general web documents, commercial products, images,sponsored advertisements/links, and news documents. Dividing the indexinto categories can be beneficial in helping users find more relevantresults to their search queries. For example, a user interested infinding a digital camera to purchase may be particularly interested inspecific models and prices of digital cameras and not as interested ininformation relating to the taking of digital pictures.

One problem associated with search engines capable of performingmulti-category searches is how to present the different category optionsto users. One known technique is to allow the user to pick the desiredcategory and to then enter a search query. The user may, for example,first select a “news” tab from the search engine's home page and thenenter a search query that will be applied to an index of news documents.Although this technique gives users a great deal of control in directingtheir search queries, a practical problem with this technique is that alarge majority of users tend to ignore the category tabs, resulting intheir search query being directed to the default category.

Thus, there is a need in the art to assist users in more effectivelysearching information segmented by category.

SUMMARY OF THE INVENTION

One aspect of the invention is directed to a method that includesperforming a search to determine documents related to a search query.The search is performed on a database containing a number of documentcategories, and obtains a list of search results corresponding to eachof at least two of the categories. The method further includes rankingthe lists of search results relative to one another and generating adocument in which the search results are placed in an organizationdetermined based, at least in part, on the ranking of the lists ofsearch results.

Another aspect of the invention is directed to a search engine thatincludes a search component configured to determine documents related toa search query. The search is performed on a database containing anumber of document categories and obtains a list of search resultscorresponding to each of at least two of the categories. A rankingcomponent ranks the lists of search results relative to one another andan interface generation component generates a document in which thesearch results are placed in an organization determined based, at leastin part, on the ranking of the lists of search results.

Yet another aspect of the invention is directed to a method oforganizing documents categorized into a plurality of categories. Themethod comprising ranking the plurality of categories based on contentsof the documents in each of the categories and generating a resultsdocument in which the documents are organized by category and in whichthe documents of higher ranking categories are more prominently placedin the results document.

BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying drawings, which are incorporated in and constitute apart of this specification, illustrate an embodiment of the inventionand, together with the description, explain the invention. In thedrawings,

FIG. 1 is an exemplary diagram of a network in which systems and methodsconsistent with the principles of the invention may be implemented;

FIG. 2 is an exemplary diagram of a client and/or server shown in FIG.1;

FIG. 3 is a block diagram illustrating the classification of documentsinto different categories;

FIG. 4 is a block diagram conceptually illustrating functionalcomponents of the search engine shown in FIG. 1;

FIG. 5 is a diagram illustrating an exemplary web page that containssearch results organized into a number of visual categories; and

FIG. 6 is a flow chart illustrating operations that may be performedconsistent with aspects of the invention.

DETAILED DESCRIPTION

The following detailed description of the invention refers to theaccompanying drawings. The detailed description does not limit theinvention.

As described herein, a search engine returns search results to a user inwhich the search results are organized by document category. Thedifferent document categories are organized in the document returned tothe user based, at least in part, on the relevance of the categories tothe user search query.

Exemplary Network Overview

FIG. 1 is an exemplary diagram of a network 100 in which systems andmethods consistent with the principles of the invention may beimplemented. Network 100 may include multiple clients 110 connected toone or more servers 120 via a network 140. Network 140 may include alocal area network (LAN), a wide area network (WAN), a telephonenetwork, such as the Public Switched Telephone Network (PSTN), anintranet, the Internet, or a combination of networks. Two clients 110and one server 120 have been illustrated as connected to network 140 forsimplicity. In practice, there may be more or fewer clients and servers.Also, in some instances, a client may perform the functions of a serverand a server may perform the functions of a client.

Clients 110 may include client entities. An entity may be defined as adevice, such as a wireless telephone, a personal computer, a personaldigital assistant (PDA), a lap top, or another type of computation orcommunication device, a thread or process running on one of thesedevices, and/or an object executable by one of these device. Server 120may include server entities that process, search, and/or maintaindocuments in a manner consistent with the principles of the invention.Clients 110 and server 120 may connect to network 140 via wired,wireless, and/or optical connections. Also, while server 120 isillustrated as a single entity, in practice, server 120 may beimplemented as a number of networked server devices.

Clients 110 may include client software, such as browser software 115.Browser software 115 may include a web browser, such as the existingMicrosoft Internet Explorer or Netscape Navigator browsers. For example,when network 140 is the Internet, clients 110 may navigate the web viabrowsers 115 and, in particular, access server 120 via browsers 115.

Server 120 may operate as a web server and include search engine 125. Inone implementation, search engine 125 may function as a query-based webpage search engine. In response to client requests, search engine 125may return sets of documents to clients 110. The documents may bereturned to clients 110 as a web page containing a list of links to webpages that are relevant to the search query. This list of links may beranked and displayed in an order based on the search engine'sdetermination of relevance to the search query.

When performing a search for documents related to a user search query,search engine 125 may search database 127. Database 127 may include anumber of documents, such as documents gathered from resources coupledto network 140 (e.g., web documents). The documents in database 127 maybe segmented into categories, as will be described in more detail below.

A document, as the term is used herein, is to be broadly interpreted toinclude any machine-readable and machine-storable work product. Adocument may be an e-mail, a file, a combination of files, one or morefiles with embedded links to other files, a news group posting, a webadvertisement, or the like. In the context of the Internet, a commondocument is a web page. Web pages often include textual information andmay include embedded information (such as meta information, images,hyperlinks, etc.) and/or embedded instructions (such as Javascript,etc.).

Exemplary Client/Server Architecture

FIG. 2 is an exemplary diagram of a client 110 and/or server 120according to an implementation consistent with the principles of theinvention. Client/server 110/120 may include a bus 210, a processor 220,a main memory 230, a read only memory (ROM) 240, a storage device 250,one or more input devices 260, one or more output devices 270, and acommunication interface 280. Bus 210 may include one or more conductorsthat permit communication among the components of client/server 110/120.

Processor 220 may include one or more types of conventional processorsor microprocessors that interpret and execute instructions. Main memory230 may include a random access memory (RAM) or another type of dynamicstorage device that stores information and instructions for execution byprocessor 220. ROM 240 may include a conventional ROM device or anothertype of static storage device that stores static information andinstructions for use by processor 220. Storage device 250 may include amagnetic and/or optical recording medium and its corresponding drive.

Input device(s) 260 may include one or more conventional mechanisms thatpermit a user to input information to client/server 110/120, such as akeyboard, a mouse, a pen, voice recognition and/or biometric mechanisms,or the like. Output device(s) 270 may include one or more conventionalmechanisms that output information to the user, including a display, aprinter, a speaker, or the like. Communication interface 280 may includeany transceiver-like mechanism that enables client 110/120 tocommunicate with other devices and/or systems. For example,communication interface 280 may include mechanisms for communicatingwith another device or system via a network, such as network 140.

The software instructions defining search engine 125 and browsersoftware 115 may be read into memory 230 from another computer-readablemedium, such as data storage device 250, or from another device viacommunication interface 280. The software instructions contained inmemory 230 cause processor 220 to perform processes that will bedescribed later. Alternatively, hardwired circuitry may be used in placeof or in combination with software instructions to implement processesconsistent with the present invention. Thus, implementations consistentwith the principles of the invention are not limited to any specificcombination of hardware circuitry and software.

As mentioned, server software may implement a search engine 125 that,based on a user query, returns a web page containing a list of links todocuments that the search engine considers to be relevant to the searchquery. The links presented to the user may be from multiple documentcategories and the different categories may be displayed in differentsections of the web page (such as, for example, different visualsections). Consistent with an aspect of the invention, the choice ofwhich links and categories to include may be based on relevance to theuser search query.

Search Engine 125

As previously mentioned, search engine 125 may operate on an index ofdocuments stored in database 127. The documents in database 127 mayinclude different categories of documents. In some implementations, eachdifferent category of documents may be stored as a separate documentindex. FIG. 3 is a block diagram illustrating classification ofdocuments into different categories. Incoming documents, such asdocuments crawled from the web or otherwise input to search engine 125,may be input to a classifier 300. Classifier 300 may classify thedocuments based on their content. Possible classifications includesponsored links, news documents, product documents, documentssummarizing discussion groups, images, and general web documents. Otherclassifications are, of course, possible. A product document may be aweb page for a product that is for sale. A discussion group document maybe an archive of an on-line discussion group or web pages that includethe discussion group. A news document may include documents relating tonews items or current events. Sponsored links may include links that athird-party pays the search engine operator to display (e.g.,advertisements). In some implementations, a document may be classifiedas belonging to multiple classifications.

Classifier 300 may be an automated classifier that bases its decisionson, for example, the source of the documents, document content, and/ordocument structure. Techniques for classifying documents are well knownin the art and will not be described further herein.

The classified documents may be stored as separate categories or“genres” within the complete document database 127, illustrated assponsored links category 310, news category 311, products category 312,discussion groups category 313, images category 314, and general webdocuments category 315. One of ordinary skill in the art will recognizethat more, fewer or different categories could be used. Each category310-315 may be separately indexed by search engine 125.

FIG. 4 is a block diagram conceptually illustrating functionalcomponents of search engine 125. Search engine 125 may include a searchcomponent 401, a ranking component 402, and an interface generationcomponent 403.

In general, search component 401 may receive user search queries, accessdatabase 127 based on the search queries, and obtain lists of links 410(e.g., URLs) of relevant documents. The lists of links may also includeinformation that generally attempts to describe the content of the webdocuments associated with the links. Each list in the lists of links maybe associated with one of document categories 310-315. Thus, the firstlist may be of sponsored links that are relevant to the user searchquery, the second list may be of news articles relevant to the usersearch query, etc. The lists may be generated, for example, by searchcomponent 401 by individually applying the user search query to eachdocument category 310-315.

Within each list of relevant links, the list may be ordered by perceivedrelevance to the user search query. In general, processes for searchingan indexed corpus of documents to return relevant documents are wellknown in the art. Accordingly, the functionality of search component 401related to performing a search based on a user query and ranking theresults within a list according to perceived relevance will not bedescribed further herein.

The lists of links 410 may be ranked by ranking component 402. Rankingcomponent 402 may analyze the links in lists 410 and/or the documentscorresponding to the links and, based on the analysis, determine arelative relevance of the lists. In other words, based on the searchresults generated from each category 310-315, ranking component 402 mayrank the categories by perceived relevance to the user search query.Ranking component 402 may base its ranking on the documentscorresponding to the links in each list and/or the user search query.For example, ranking component 402 may generally compare the searchquery to the contents of the documents in each list and base its rankingvalues on the closeness of the comparison. Consider the search query“buy athletic shoes.” For this search query, ranking component 402 maydetermine that the user is most likely interested in athletic shoes thatare for sale. Accordingly, ranking component may rank the “products”category highly. The links in the list of links that correspond to theproducts category are likely to be links that correspond to web pagesthat are offering shoes for sale.

As another implementation of ranking component 402, the rankingcomponent may look for terms in the search query that tend to indicate aparticular category is likely to be related. For example, the word “buy”in a search query may indicate the “products” category should be rankedhighly.

Interface generation component 403 may generate a document, such as aweb page, that contains the results of the search query. The results maybe organized on the web page in a manner that generally corresponds tothe rankings generated by ranking component 402. Categories that aredetermined to be more relevant than others by ranking component 402 maybe presented more prominently on the web page.

FIG. 5 is a diagram illustrating an exemplary web page 500 that containssearch results organized into a number of categories. The results on webpage 500 were returned by search component 401 for the exemplary search“foo fighters.” The various sections in web page 500 are demarcated bydashed lines. As illustrated, the largest section, section 510, containsgeneral web page results for the search query “foo fighters.” Thus,general web page category 315 may have been selected as the highestranked category by ranking component 402. In some implementations,because search engine users may expect to receive links derived from ageneral index of the web, interface generation component 403 may alwaysconstruct web page 500 with the general web page category 315 as themost prominent category.

Section 510 may contain a number of links (e.g., hyper-text transferprotocol links) to relevant documents, such as link 520. Link 520 mayadditionally include a textual snippet 521 that provides additionalinformation about the document referred to by link 520. Snippet 521 maybe derived from the contents of the document.

Products section 511 and news section 512 are also relativelyprominently displayed in web page 500. The links in products section 511and news section 512 may therefore have been determined to be relevantto the user's search query, although potentially not as relevant as thelinks in general web results section 510. Accordingly, sections 511 and512 may include fewer links than section 510. In particular, as shown,section 511 includes two links, links 525 and 526. Section 512 may alsoinclude two links. The links in products section 511 may be derived fromproducts category 312 and may include information relevant to a userwishing to purchase a product, such as images of the products, prices,and the names of the merchants selling the products. In this case, thesearch term “foo fighters” is a musical group and the most relevantproduct links are two links selling one of the group's music albums.Products section 511 also includes a link 528 that indicates thatadditional product links are available. As shown, link 528 indicates howmany other hits were generated in the products category. By selectinglink 528, the user may be presented with another web page showingadditional links from product category 312.

As shown, news section 512 may be structured similarly to productssection 511. News section 512 contains a number of links to newsarticles from news documents category 311. News section 512 may alsoinclude a link indicating additional news items are available.

Other categories, such as image section 513 and groups section 514 mayalso be displayed in web page 500. These categories may correspond tocategories that ranking component 402 determines to be less relevantthan the categories corresponding to sections 510, 511, and 512. Asshown, no links may be explicitly shown in image section 513 and groupssection 514. Instead, sections 513 and 514 may only indicate the numberof hits in that category and a link to the results in that category. Inthis manner, the user is made aware that these categories are availableand contain possibly relevant results, but web page 500 is not clutteredwith an excessive amount of information.

It can be appreciated that the specific organization of sections 510-514is exemplary. More particularly, the number, size, and layout of thesections could be changed.

FIG. 6 is a flow chart illustrating operations that may be performed bysearch engine 125 consistent with aspects of the invention. Searchengine 125 may receive a search query from a user (act 601). Searchcomponent 401 may search multiple categories of documents, such asdocument categories 310-315, based on the search query (act 602). Thesearch may result in, for at least two categories, a list of relevantdocuments or links to the relevant documents. Ranking component 402 maythen rank the various categories based on the results returned fromsearch component 401 (act 603). Interface component 403 may thengenerate the resultant web page that is to be returned to the user. Asillustrated in FIG. 5, above, the web page may include links frommultiple categories, organized, at least in part, based on categoryrelevance (act 604). Server 120 may return the generated web page to theuser (act 605).

CONCLUSION

By displaying a number of category sections in web page 500, searchengine 125, as well as presenting a number of links from a primarycategory (such as the category that the search engine perceives to bemost relevant to the user query), presents links from additionalcategories. Users may quickly scan links, and if the user realizes thatthey are more interested in a category other than the main category, theuser can select a document from the other category or a link toadditional results from the other category. In this manner, the usersearch experience can be improved without requiring the user to choose acategory of interest before sending the search query to the searchengine.

It will be apparent to one of ordinary skill in the art that aspects ofthe invention, as described above, may be implemented in many differentforms of software, firmware, and hardware in the implementationsillustrated in the figures. The actual software code or specializedcontrol hardware used to implement aspects consistent with the presentinvention is not limiting of the present invention. Thus, the operationand behavior of the aspects were described without reference to thespecific software code—it being understood that a person of ordinaryskill in the art would be able to design software and control hardwareto implement the aspects based on the description herein.

The foregoing description of preferred embodiments of the presentinvention provides illustration and description, but is not intended tobe exhaustive or to limit the invention to the precise form disclosed.Modifications and variations are possible in light of the aboveteachings or may be acquired from practice of the invention. Forexample, although many of the operations described above were describedin a particular order, many of the operations are amenable to beingperformed simultaneously or in different orders to still achieve thesame or equivalent results.

No element, act, or instruction used in the description of the presentapplication should be construed as critical or essential to theinvention unless explicitly described as such. Also, as used herein, thearticle “a” is intended to include one or more items. Where only oneitem is intended, the term “one” or similar language is used.

1-31. (canceled)
 32. A method comprising: receiving, by one or moreprocessors, a search query that includes: a first character string, anda second character string associating the search query with a firstcategory of a plurality of document categories; obtaining, by the one ormore processors, search results identifying documents that areresponsive to the first character string, the search results including:first results identifying documents in the first category, and secondresults identifying documents in a second category of the plurality ofdocument categories; generating, by the one or more processors, a searchresults document providing information associated with search results,the search results document including: a first area associated with thefirst results, and a second area associated the second results, thesecond area being smaller than the first area; and providing, by the oneor more processors, the search results document for display.
 33. Themethod of claim 32, where the first area includes a textual snippetassociated with the identified documents in the first category, andwhere the second area includes no textual snippets associated with theidentified documents in the second category.
 34. The method of claim 32,where: the first results includes a first quantity of documents, thesecond results includes a second quantity of documents, and the firstquantity is greater than the second quantity.
 35. The method of claim34, where the second area further includes a link to informationidentifying another document, in the second category, that is responsiveto the first character string, the other document not being identifiedin the second results.
 36. The method of claim 32, further comprising:ranking the plurality of documents categories based on the searchresults identifying the documents that are responsive to the firstcharacter string; and identifying, as the second category, a highestranked one of the plurality of ranked categories that differs from thefirst category.
 37. The method of claim 32, where the search resultsfurther include third results identifying documents in a third categorythat differs from the first category and the second category, and wherethe search results document further includes a third area that includesa link to the third results.
 38. The method of claim 32, where the firstresults rank the identified documents in the first category based onrespective responsiveness of the identified documents in the firstcategory to the first character string, and where the second resultsrank the identified documents in the second category based on respectiveresponsiveness of the identified documents in the second category to thefirst character string.
 39. A device comprising: a memory; and one ormore processors to: receive a search query that includes: a firstcharacter string, and a second character string associating the firstcharacter string with a first category of a plurality of documentcategories, obtain search results identifying documents that areresponsive to the first character string, the search results including:first results identifying documents in the first category, and secondresults identifying documents in a second category of the plurality ofdocument categories, generate a search results document providinginformation associated with the search results, the search resultsdocument including: a first area associated with the first results, anda second area associated the second results, the search resultsdocuments presenting the first area more prominently than the secondarea, and store the search results document in the memory.
 40. Thedevice of claim 39, where the first area is larger than the second area.41. The device of claim 39, where: the first results includes a firstquantity of documents, the second results includes a second quantity ofdocuments, and the first quantity is greater than the second quantity42. The device of claim 41, where the one or more processors, whengenerating the search results document, are further to: include, in thesecond area, a link to information identifying another document in thesecond category that is responsive to the first character string, theother document not being identified in the second results.
 43. Thedevice of claim 39, where the one or more processors are further to:rank the plurality of documents categories based on the search resultsidentifying the documents that are responsive to the first characterstring; and identify, as the second category, a highest ranked one ofthe plurality of ranked categories that differs from the first category.44. The device of claim 39, where the search results further include:third results identifying documents in a third category that differsfrom the first category and the second category, and where the one ormore processors, when generating the search results document, arefurther to: include, in the search results document, a third area thatincludes a link to the third results.
 45. The device of claim 39, wherethe one or more processors are further to: rank, in the first results,the identified documents in the first category based on respectiveresponsiveness of the identified documents in the first category to thefirst character string, and rank, in the second results, the identifieddocuments in the second category based on respective responsiveness ofthe identified documents in the second category to the first characterstring.
 46. A non-transitory computer-readable medium comprising: one ormore instructions that, when executed by one or more processors, causethe one or more processors to: receive a search query that includes: afirst character string, and a second character string associating thefirst character string with a first category of a plurality of documentcategories; obtain search results identifying documents that areresponsive to the first character string, the search results including:first results identifying documents in the first category, and secondresults identifying documents in a second category of the plurality ofdocument categories; and generate a search results document providinginformation associated with the search results, the search resultsdocument including: a first area associated with the first results, anda second area associated the second results, a first quantity ofdocuments identified in the first area being greater than a secondquantity of documents identified in the second area.
 47. Thenon-transitory computer-readable medium of claim 45, where the firstarea is larger than the second area.
 48. The non-transitorycomputer-readable medium of claim 45, where the second area, of thesearch results document, further includes a link to informationidentifying another document in the second category, that is responsiveto the first character string, the other document not being identifiedin the second results.
 49. The non-transitory computer-readable mediumof claim 45, further comprising: one or more instructions to: rank theplurality of documents categories based on the search resultsidentifying the documents that are responsive to the first characterstring; and identify, as the second category, a highest ranked one ofthe plurality of ranked categories that differs from the first category.50. The non-transitory computer-readable medium of claim 45, where thesearch results further include third results identifying documents in athird category that differs from the first category and the secondcategory, and where the search results document further includes a thirdarea that includes a link to the third results.
 51. The non-transitorycomputer-readable medium of claim 45, further comprising: one or moreinstructions to: rank, in the first results, the identified documents inthe first category based on respective responsiveness of the identifieddocuments in the first category to the first character string; and rank,in the second results, the identified documents in the second categorybased on respective responsiveness of the identified documents in thesecond category to the first character string.